Low-Power High-Performance VLSI Design
183 faculty research Low-Power High-Performance VLSI Design on GradNova.
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Godbold Endowed Chair Professor, Electrical and Computer Engineering
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<p>reconfigurable Computing</p><p>fpgas</p><p>hardware Acceleration of Machine Learning (ml) and Artificial Intelligence (ai)</p><p>fpga Applications in Areas Such as Quantum Computing and Medical</p><p>processing-In-Memory</p><p>using Machine Learning (ml) and Artificial Intelligence (ai) for Cad/eda</p>
Parallel Computing and Optimization Techniques
Embedded Systems Design Techniques
VLSI and FPGA Design Techniques
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Professor, Electrical & Computer Engineering
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Core Faculty; Director of MU Institute for Data Science and Informatics; Paul K. and Dianne Shumaker Professor
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Associate Professor, Computer and Information Science
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Professor, EECS – Computer Science and Engineering; Professor (courtesy), EECS – Electrical and Computer Engineering
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Distinguished Professor and Associate Dean of Research
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Professor Emeritus, Professor in the Graduate School